PsychPlus, Telehealth Platform
A HIPAA-compliant telehealth platform on Django, PostgreSQL, and Kubernetes, with NLP-driven patient insights and real-time clinical data sync.
Challenge
PsychPlus needed a telehealth platform that could handle real-time clinical data, patient-provider matching at scale, and strict HIPAA compliance for protected health information as it moves between clinical systems, on top of the NLP and predictive modeling behind its mental-health analytics.
Solution
We architected the platform on Django and PostgreSQL on AWS RDS, and used Kubernetes for container orchestration so patient-matching and data services could scale and recover automatically. We optimized patient-provider matching through SQL query tuning and Redis caching, and worked with data engineering to streamline the ETL pipelines behind it. On the AI side, we built NLP and predictive models that turn patient data into personalized care insights and recommendations. We integrated HL7 ADT message processing to keep patient events synchronized across clinical systems, with HIPAA-compliant handling of PHI in transit throughout.
Results
The platform has maintained over 99.9% uptime, with response times holding steady under peak traffic. Clinical data flows securely between systems in real time, personalized insights reach patients through the NLP layer, and compliant PHI handling is built into every layer that touches it.